Assessment
Map lifecycle gaps across agent strategy, code, release, runtime controls, and observability.
AI agent operating systems
Build agents that can do real work — and a system that can control them.
Straighten helps organizations move from agent demos to governed operations through agent strategy, code and release discipline, runtime control, and observability.
For teams that need tighter control over agent code, prompts, releases, and live behavior.
Design the operating layer
Clarify ownership, autonomy, approvals, and use-case boundaries.
Control code and release
Shape source control, versioning, testing, deployment, and execution guardrails.
Run with visibility
Establish tracing, evaluation, monitoring, and steady-state improvement.
Why this matters
Most teams can prototype an agent. Far fewer can run one.
Most teams can prototype an agent. Far fewer can explain how it will be tested, approved, versioned, deployed, observed, and improved once it is live.
Autonomous execution raises the stakes.
Agents that write or execute code, call tools, and touch systems need tighter runtime boundaries.
Governance alone is not enough.
Policies without release discipline, observability, and operational ownership do not hold up in production.
The advantage is operational.
The winners will be the teams that can run agents reliably, visibly, and at scale.
The offer
Three focused ways to start.
Blueprint
Design the operating model across ownership, source control, deployment, guardrails, and monitoring.
Realignment sprint
Resolve one high-priority agent operating problem and leave with clear owners and next moves.
Start here
Turn agent experiments into governed operations.
Straighten helps organizations design how agents are built, released, controlled, and improved in the real world.
Or email hello@straighten.io